Cao Dandan, Liu Yijun, Cheng Yanfei, Wang Jue, Zhang Bolun, Zhai Yanhui, Zhu Kongfu, Liu Ye, Shang Ye, Xiao Xiao, Chang Yi, Lee Yin Lau, Yeung William Shu Biu, Huang Yuanhua, Yao Yuanqing
Shenzhen Key Laboratory of Fertility Regulation, Reproductive Medicine Center, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
School of Biomedical Sciences, the University of Hong Kong, Hong Kong SAR, China.
Nat Commun. 2025 Jan 2;16(1):137. doi: 10.1038/s41467-024-55419-z.
Understanding human endometrial dynamics in the establishment of endometrial receptivity remains a challenge, which limits early diagnosis and treatment of endometrial-factor infertility. Here, we decode the endometrial dynamics of fertile women across the window of implantation and characterize the endometrial deficiency in women with recurrent implantation failure. A computational model capable of both temporal prediction and pattern discovery is used to analyze single-cell transcriptomic data from over 220,000 endometrial cells. The time-series atlas highlights a two-stage stromal decidualization process and a gradual transitional process of the luminal epithelial cells across the window of implantation. In addition, a time-varying gene set regulating epithelium receptivity is identified, based on which the recurrent implantation failure endometria are stratified into two classes of deficiencies. Further investigation uncovers a hyper-inflammatory microenvironment for the dysfunctional endometrial epithelial cells of recurrent implantation failure. The holistic characterization of the physiological and pathophysiological window of implantation and a computational tool trained on this temporal atlas provide a platform for future therapeutic developments.
了解人类子宫内膜在子宫内膜容受性建立过程中的动态变化仍然是一项挑战,这限制了对子宫内膜因素不孕症的早期诊断和治疗。在此,我们解码了处于着床窗期的有生育能力女性的子宫内膜动态变化,并对反复着床失败女性的子宫内膜缺陷进行了特征描述。我们使用了一个能够进行时间预测和模式发现的计算模型,来分析来自超过220,000个子宫内膜细胞的单细胞转录组数据。该时间序列图谱突出了一个两阶段的基质蜕膜化过程,以及腔上皮细胞在着床窗期的逐渐过渡过程。此外,还鉴定出了一组调节上皮细胞容受性的随时间变化的基因集,基于此,将反复着床失败的子宫内膜分为两类缺陷。进一步的研究发现,反复着床失败的功能失调子宫内膜上皮细胞存在高炎症微环境。着床生理和病理生理窗口的整体特征描述以及基于此时间图谱训练的计算工具为未来的治疗发展提供了一个平台。